shipinxinhaofenbu

含有波束空间MUSIC算法、阵元数变化的经典MUSIC算法统计分析、与平滑相关的矩阵分解MUSIC算法(Contains the beam-space MUSIC algorithm, array element number of changes in the classic MUSIC algorithm for statistical analysis, and the smooth related matrix factorization algorithm MUSIC)

说明：  先进PID:Smith预估器纯滞后补偿，通过与PID控制器并接，来抵消实测滞后的影响(Advanced PID: Smith Predictor time delay compensation, with the PID controller and then to offset the impact of the measured hysteresis)

基于matlab语言，分裂和合并的源程序，(Based on matlab split and merge)

this work, presend a control based stand-alone hybrid energy PV system.

说明：  扰动观察法simulink仿真，基于MATLAB simulink平台(Simulink simulation of disturbance observation method)

本资料较为详细的讲解了matlab的功能，可为学习运用matlab软件进行编程的同学提供帮助。(This information is a more detailed explanation of the matlab function, can help to learn to use matlab software programming students.)

基于kd-tree搜索算法，利用局部邻域的平面拟合，检测三维点云数据的法线方向( Estimates the normals of a sparse set of n 3d points by using a set of the closest neighbours to approximate a plane.)

guidlines to how to do ofdm in matlab

小波融合程序，MATLAB下拥有较好的融合效果！(Wavelet fusion procedures, MATLAB has a better integration of results!)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.